How would you design a load test for a real-time streaming application using Azure Databricks and Azure Event Hubs to ensure the pipeline can handle peak data velocities and volumes without performance degradation?

Real Exam

Deploying Azure Functions to mimic real-time data generation at scale, directing the output to Event Hubs connected to your Databricks streaming job

11.1%

Writing a Databricks notebook to simulate data production into Event Hubs, scaling up the notebook‘s resources to increase load

13.0%

Utilizing a third-party load testing tool to generate high-velocity data streams towards Event Hubs, monitoring pipeline performance in Databricks with custom metrics

14.8%

Configuring Azure Load Tester to simulate real-world traffic patterns and volumes, analyzing the impact on your streaming jobs in Databricks

61.1%

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How would you design a load test for a real-time streaming application using Azure Databricks and Azure Event Hubs to ensure the pipeline can handle peak data velocities and volumes without performance degradation?